Epistemic Resonance in the AI-Mediated Academy: Toward Educational Accountability and Transformative Learning

Abstract

The rapid integration of AI in higher education challenges traditional notions of literacy as reading and writing, requiring new frameworks for understanding how knowledge is produced, assessed, and shared. This paper introduces the theory of epistemic resonance (TER), grounded in three foundations—cognitive friction, social echo, and moral accountability—that safeguard the integrity of academic writing in the AI‑mediated academy. TER reframes writing as a laboratory of learning, where students grow through struggle, dialogue, and ethical responsibility, marked by the resonant signature of genuine comprehension. Extending TER, the concept of meta‑agency captures how learners and AI co‑author knowledge within distributed systems, negotiating meaning across cultural, technological, and material contexts. Together, TER and meta‑agency highlight both the risks of synthetic entropy—frictionless but hollow text—and the potential for educational accountability in AI (EAAI), a framework that positions educators as custodians of accountable learning conditions. To strengthen its applied dimension, the paper illustrates how TER and EAAI can be operationalized through classroom vignettes, assessment design proposals, and a hypothetical design‑based research cycle, demonstrating evaluative rigor without requiring empirical data. By situating TER and EAAI within current debates on intelligent tutoring, AI‑assisted learning analytics, and adaptive assessment, this study positions the AI‑mediated academy as a site where humans and technologies co‑construct knowledge while preserving epistemic agency and responsibility. In doing so, it advances a pedagogical innovation that ensures learning remains transformational rather than transactional, contributing to sustainable and globally relevant educational practice.